Nothing Special   »   [go: up one dir, main page]

CN103438832A - Three-dimensional image measuring method based on line-structured light - Google Patents

Three-dimensional image measuring method based on line-structured light Download PDF

Info

Publication number
CN103438832A
CN103438832A CN2013103903890A CN201310390389A CN103438832A CN 103438832 A CN103438832 A CN 103438832A CN 2013103903890 A CN2013103903890 A CN 2013103903890A CN 201310390389 A CN201310390389 A CN 201310390389A CN 103438832 A CN103438832 A CN 103438832A
Authority
CN
China
Prior art keywords
line
dimensional
structured light
coordinate
dimensional image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2013103903890A
Other languages
Chinese (zh)
Other versions
CN103438832B (en
Inventor
解则晓
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201310390389.0A priority Critical patent/CN103438832B/en
Publication of CN103438832A publication Critical patent/CN103438832A/en
Application granted granted Critical
Publication of CN103438832B publication Critical patent/CN103438832B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention relates to a three-dimensional image measuring method based on line-structured light. The method can fast acquire three-dimensional data on the surface of an object based on the principle of the line-structured light, and can simultaneously acquire the precise edge contour data of a space object. Meanwhile, the method is simple in procedure, and in the respect of hardware, only an annular LED light source needs to be added to an existing three-dimensional image measurement instrument to achieve the method.

Description

3-dimensional image measuring method based on line-structured light
Technical field
The present invention relates to a kind of, especially a kind of 3-dimensional image measuring method based on line-structured light.
Background technology
In prior art, structured-light sensor is applied widely in reverse-engineering and field of quality control.This structured-light sensor is compared and has greatly been improved measuring speed with traditional three coordinate measuring machine contact type measurement.This class gauge head normally is comprised of a generating laser and one or two charge-coupled image sensor (Charge Coupled Device is called for short CCD) video camera.Wherein generating laser sends a laser rays, projects body surface; Ccd video camera can receive diffusing on testee.Pixel coordinate on the ccd video camera image planes can be converted into to the two-dimensional coordinate in optical plane by this system being demarcated just.Just can realize the three-dimensional scanning measurement to object by motion mobile object or mobile gauge head, the three-dimensional data of obtaining is exactly the data that project the striation on object.The characteristics of this class gauge head are once to obtain the data on laser rays, and normally hundreds of, have higher efficiency, and the minor increment on striation between two points is to be determined by the pixel size along the striation direction.The major defect of this class gauge head is can not the clear edge contour of measuring exactly object, the place that the common corresponding striation in the edge of object disconnects, and this makes this gauge head can't obtain the accurate data of object edge profile.
In addition, traditional bidimensional image measurement is to utilize a ccd video camera to detect the edge contour of object on two dimensional surface, has very high sharpness and precision, at accurate detection field, is widely used.But the method can only detect the edge feature in same plane, can not detect three-dimensional feature.
Summary of the invention
The objective of the invention is to overcome the above-mentioned defect of prior art, a kind of 3-dimensional image measuring method that line-structured light and radiographic measurement are combined has been proposed, the three-dimensional data on the principle quick obtaining body surface of line-structured light can not only be utilized, the accurate edge contour data of space object can also be obtained simultaneously.
The present invention adopts following technical scheme to realize: a kind of 3-dimensional image measuring method based on line-structured light comprises the following steps:
(1) close annular LED light source, open the line-structured light projector, the plane that the line-structured light projector sends and testee intersect a very bright laser striation of generation, video camera is taken the image of this striation, thereby the image of this striation is processed to the center that obtains the laser striation, this center is by O " pixel coordinate of uv coordinate system (u, v) mean;
(2) the closed line structured light projector, open annular LED light source, and video camera obtains the image of testee, and this image is carried out to the sub-pixel edge extraction, obtains the accurate image information of object features;
(3) sub-pixel edge of object in the laser striation center of step (1) and step (2) is intersected and obtains two some P and Q, P point and Q point are both in the laser striation, again on the edge of object, be that P point and Q point are the marginal points on striation, only the point on striation could, by finally being converted to 3 d space coordinate, repeat the two-dimensional image areal coordinate that above-mentioned three steps can obtain obtaining the object edge profile;
(4) demarcate and can obtain the two-dimensional coordinate in optical plane according to the two-dimensional image areal coordinate by line-structured light " intrinsic parameter ", OsXsYs is the two-dimensional coordinate system in optical plane;
(5) demarcate and the two-dimensional coordinate in optical plane can be transformed in the three-dimensional system of coordinate of motion by " the outer parameter " of 3-dimensional image measuring instrument, thereby realize three-dimensional scanning measurement, OmXmYmZm is the three-dimensional system of coordinate of motion.
In the present invention, the extraction at laser striation center adopts gravity model appoach, projects the brightness approximate Gaussian distribution of the laser striation on object, and centre is the brightest, dimmed gradually to both sides, N i-2to N i+2location of pixels on striation, V i-2to V i+2be the gray-scale value of respective pixel, the gravity model appoach formula is as follows:
P = Σ i = - 2 i = 2 N i × V i Σ i = - 2 i = 2 V i
Described image sub-pixel edge extracts the sub-pix algorithm that adopts the poor center of gravity of intensity-based, and the gray-scale value of establishing edge is g i(i=-3 ,-2 ..., 3), corresponding gray scale difference value is expressed as
f i = g i + 1 - g i - 1 2 ( i = - 2 , - 1 , · · · , 2 )
Point P (x, y) is the pixel edge point, and some P chooses the neighborhood territory pixel point along direction of scanning, to comprising the pixel that P is ordered, ask respectively gray scale difference f i(i=-2 ,-1 ..., 2), the place of variation of image grayscale maximum is by f icenter of gravity about gray scale difference coordinate i means, for left pixel edge point, it is as follows that sub-pixel edge extracts formula:
δ = - 2 f - 2 - f - 1 + f 1 + 2 f 2 f - 2 + f - 1 + f 0 + f 1 + f 2 x ′ = x + δ y ′ = y
In the present invention in the calibration process of intrinsic parameter, after the two-dimensional image areal coordinate of object edge point is determined, by f (P r)=P 2dformula obtains the two-dimensional coordinate in optical plane, wherein P rbe the two-dimensional image areal coordinate of object edge point, f is the corresponding function of this gauge head intrinsic parameter, P 2dit is the two-dimensional coordinate in optical plane after conversion.
The outer parameter of described 3-dimensional image measuring instrument has 6 components, comprise 3 translational components and 3 rotational components, wherein three translational components are the position of 3-dimensional image measuring instrument work origin in world coordinate system, 3 rotational components are three anglecs of rotation of 3-dimensional image measuring instrument two-dimensional coordinate system with respect to world coordinate system, if translational component is M, rotational component is Q, and the three-dimensional coordinate under world coordinate system is P 3d, the three-dimensional coordinate from the optical plane two-dimensional coordinate to world coordinate system is P 3d=QP 2d+ M.
Described 3-dimensional image measuring instrument comprises the line-structured light projector and video camera, wherein the line-structured light projector and video camera are fixed on same horizontal base, the line-structured light projector, video camera are encapsulated in casing together with horizontal base, the angle of the projecting direction of the line-structured light projector and the optical axis direction of video camera is 30 °~35 °, the light hole of the line-structured light projector is between 90mm~100mm to the distance of video camera image plane center, and the front end of camera lens is installed the annular LED light source of being made by LED.
The invention has the beneficial effects as follows: the method can not only be utilized the three-dimensional data on the principle quick obtaining body surface of line-structured light, can also obtain the accurate edge contour data of space object simultaneously; Simultaneously, the method step is simple, and on hardware, only need increase annular LED light source on existing 3-dimensional image measuring instrument can realize.
The accompanying drawing explanation
Fig. 1 is based on the structural representation of the 3-dimensional image measuring instrument of line-structured light;
Fig. 2 is line-structured light inside and outside parameter transformational relation schematic diagram;
Fig. 3 (a) is the crossing image of line-structured light and object;
Fig. 3 (b) is the extraction result at line-structured light striation center;
Fig. 4 is the distribution schematic diagram of laser striation brightness;
Fig. 5 (a) is the testee image;
Fig. 5 (b) is that testee feature sub-pixel edge extracts result;
Fig. 6 is the schematic diagram of gray scale difference gravity model appoach;
Fig. 7 is the crossing structural representation of light strip center of structured light and object edge.
In Fig. 1: 1 video camera; 2 camera lenses; The 3 line-structured light projectors; 4 annular LED light sources.
Embodiment
Below in conjunction with accompanying drawing, the present invention will be further described.
The method of the invention is completed by the 3-dimensional image measuring instrument based on line-structured light.The described 3-dimensional image measuring instrument based on line-structured light comprises the line-structured light projector 3 and video camera 1, and wherein the line-structured light projector 3 and video camera 1 are fixed on same horizontal base, and are encapsulated in casing together with this horizontal base.The angle of the optical axis direction of the projecting direction of the line-structured light projector 3 and video camera 1 is between 30 °~35 °, and the light hole of the line-structured light projector 3 is between 90mm~100mm to the distance of video camera image plane center.In order to realize the radiographic measurement function, at the front end of camera lens, the annular LED light source 4 of being made by red LED is installed.
3-dimensional image measuring method based on line-structured light of the present invention comprises the following steps:
The first step, utilize line-structured light to measure the two-dimensional image areal coordinate that directly by video camera, is obtained the object edge profile, processes the pixel coordinate (u, v) on image planes that obtains the laser striation by image, and as Fig. 2, " uv is image coordinates system to O.Wherein, the two-dimensional image areal coordinate that obtains the object edge profile mainly comprises the following steps:
(1) close annular LED light source 4, open the line-structured light projector 3, the plane that the line-structured light projector 3 sends and testee intersect a very bright laser striation of generation, and video camera 1 is taken the image of this striation, as shown in Fig. 3 (a).Thereby the image of this striation is processed to the center that obtains the laser striation, as shown in Fig. 3 (b), this center is by O, " (u v) means the pixel coordinate of uv coordinate system.In the present invention, the extraction at laser striation center adopts gravity model appoach, projects the brightness approximate Gaussian distribution of the laser striation on object, and centre is the brightest, dimmed gradually to both sides, as shown in Figure 4, and N i-2to N i+2location of pixels on striation, V i-2to V i+2be the gray-scale value of respective pixel, the gravity model appoach formula is as follows:
P = Σ i = - 2 i = 2 N i × V i Σ i = - 2 i = 2 V i
(2) the closed line structured light projector 3, open annular LED light source 4, and video camera 1 obtains the image of testee, as shown in Fig. 5 (a), this image is carried out to the sub-pixel edge extraction, obtain the accurate image information of object features, as shown in Fig. 5 (b).In the present invention, the image sub-pixel edge extracts the sub-pix algorithm that adopts the poor center of gravity of intensity-based, and the gray-scale value of establishing edge is g i(i=-3 ,-2 ..., 3), corresponding gray scale difference value can be expressed as
f i = g i + 1 - g i - 1 2 ( i = - 2 , - 1 , · · · , 2 )
The edge of image is the place of variation of image grayscale maximum, the pixel edge point is carried out to sub-pixel detection and obtain the position of gray-value variation maximum in fact exactly in the pixel edge neighborhood of a point of trying to achieve, and is corresponding sub-pixel edge point position.Based on above-mentioned analysis, as shown in Figure 6, some P (x, y) is the pixel edge point, some A, and B, C, D is the neighborhood territory pixel point of some P along direction of scanning.Ask respectively gray scale difference f to above-mentioned 5 i(i=-2 ,-1 ..., 2), the ground of variation of image grayscale maximum can be by f icenter of gravity about gray scale difference coordinate i means.For left pixel edge point, it is as follows that sub-pixel edge extracts formula:
δ = - 2 f - 2 - f - 1 + f 1 + 2 f 2 f - 2 + f - 1 + f 0 + f 1 + f 2 x ′ = x + δ y ′ = y
(3) edge of object, generally at laser striation gap, therefore intersects the sub-pixel edge of object in the laser striation center in Fig. 3 (b) and Fig. 5 (b) can obtain two some P and Q, as shown in Figure 7.P point and Q point are both in the laser striation, again on the edge of object.Can obtain the two-dimensional image areal coordinate of object edge point through above three steps.
Second step, demarcate and can obtain the two-dimensional coordinate in optical plane according to the two-dimensional image areal coordinate by line-structured light " intrinsic parameter ", and OsXsYs is the two-dimensional coordinate system in optical plane.
In the present invention, in the calibration process of ability intrinsic parameter, the demarcation of intrinsic parameter is to set up from the CCD image planes to laser beam or the mapping relations of laser plane, and the laser rays on the testee that CCD is received is converted to the two-dimensional coordinate in laser plane.After the two-dimensional image areal coordinate of object edge point is determined, by f (P r)=P 2dformula obtains the two-dimensional coordinate in optical plane, wherein P rbe the two-dimensional image areal coordinate of object edge point, f is the corresponding function of this measuring instrument intrinsic parameter, P 2dit is the two-dimensional coordinate in optical plane again after conversion.
The 3rd step, demarcate and the two-dimensional coordinate in optical plane can be transformed in the three-dimensional system of coordinate of motion by " the outer parameter " of 3-dimensional image measuring instrument, thereby realize three-dimensional scanning measurement, and OmXmYmZm is the three-dimensional system of coordinate of motion.
The outer parameter of 3-dimensional image measuring instrument has 6 components, 3 translational components, the i.e. position of 3-dimensional image measuring instrument work origin in world coordinate system; 3 rotational components, gauge head one dimension or two-dimensional coordinate system are with respect to three anglecs of rotation of world coordinate system.If translational component is M, rotational component is Q, and the three-dimensional coordinate under world coordinate system is P 3d, the three-dimensional coordinate from 3-dimensional image measuring instrument two-dimensional coordinate to world coordinate system is P 3d=QP 2d+ M.
Get final product the three-dimensional data on the quick obtaining body surface by above-mentioned steps, can also obtain the accurate edge contour data of space object simultaneously.

Claims (6)

1. the 3-dimensional image measuring method based on line-structured light is characterized in that comprising the following steps:
(1) close annular LED light source (4), open the line-structured light projector (3), the plane that the line-structured light projector (3) sends and testee intersect a laser striation of generation, video camera (1) is taken the image of this striation, thereby the image of this striation is processed to the center that obtains the laser striation, this center is by O " pixel coordinate of uv coordinate system (u, v) mean;
(2) closed line structured light projector (3), open annular LED light source (4), and video camera (1) obtains the image of testee, and this image is carried out to the sub-pixel edge extraction, obtains the accurate image information of object features;
(3) sub-pixel edge of object in the laser striation center of step (1) and step (2) is intersected and obtains two some P and Q, P point and Q point are both in the laser striation, again on the edge of object, that is to say that P point and Q point are the marginal points on striation, repeat the two-dimensional image areal coordinate that above-mentioned three steps can obtain obtaining the object edge profile;
(4) demarcate and can obtain the two-dimensional coordinate in optical plane according to the two-dimensional image areal coordinate by the line-structured light intrinsic parameter, OsXsYs is the two-dimensional coordinate system in optical plane;
(5) external parameters calibration by the 3-dimensional image measuring instrument can be transformed into the two-dimensional coordinate in optical plane in the three-dimensional system of coordinate of motion, thereby realizes three-dimensional scanning measurement, and OmXmYmZm is the three-dimensional system of coordinate of motion.
2. the 3-dimensional image measuring method based on line-structured light according to claim 1, it is characterized in that: the extraction at described laser striation center adopts gravity model appoach, projects the brightness approximate Gaussian distribution of the laser striation on object, and centre is the brightest, dimmed gradually to both sides, N i-2to N i+2location of pixels on striation, V i-2to V i+2be the gray-scale value of respective pixel, the gravity model appoach formula is as follows: P = Σ i = - 2 i = 2 N i × V i Σ i = - 2 i = 2 V i
3. the 3-dimensional image measuring method based on line-structured light according to claim 1 is characterized in that: described image sub-pixel edge extracts the sub-pix algorithm that adopts the poor center of gravity of intensity-based, and the gray-scale value of establishing edge is g i(i=-3 ,-2 ..., 3), corresponding gray scale difference value is expressed as:
f i = g i + 1 - g i - 1 2 ( i = - 2 , - 1 , · · · , 2 )
Point P (x, y) is the pixel edge point, and some P chooses the neighborhood territory pixel point along direction of scanning, to comprising the pixel that P is ordered, ask respectively gray scale difference f i(i=-2 ,-1 ..., 2), the place of variation of image grayscale maximum is by f icenter of gravity about gray scale difference coordinate i means, for left pixel edge point, it is as follows that sub-pixel edge extracts formula:
δ = - 2 f - 2 - f - 1 + f 1 + 2 f 2 f - 2 + f - 1 + f 0 + f 1 + f 2 x ′ = x + δ y ′ = y
4. the 3-dimensional image measuring method based on line-structured light according to claim 1, is characterized in that: in the calibration process of described intrinsic parameter, after the two-dimensional image areal coordinate of object edge point is determined, by f (P r)=P 2dformula obtains the two-dimensional coordinate in optical plane, wherein P rbe the two-dimensional image areal coordinate of object edge point, f is the corresponding function of this measuring instrument intrinsic parameter, P 2dit is the two-dimensional coordinate in optical plane again after conversion.
5. the 3-dimensional image measuring method based on line-structured light according to claim 1, it is characterized in that: the outer parameter of described 3-dimensional image measuring instrument has 6 components, comprise 3 translational components and 3 rotational components, wherein three translational components are the position of 3-dimensional image measuring instrument work origin in world coordinate system, 3 rotational components are 3-dimensional image measuring instrument one dimension or two-dimensional coordinate system three anglecs of rotation with respect to world coordinate system, if translational component is M, rotational component is Q, and the three-dimensional coordinate under world coordinate system is P 3d, the three-dimensional coordinate from the optical plane two-dimensional coordinate to world coordinate system is P 3d=QP 2d+ M.
6. the 3-dimensional image measuring method based on line-structured light according to claim 1 or 5, it is characterized in that: described 3-dimensional image measuring instrument comprises the line-structured light projector (3) and video camera (1), the line-structured light projector (3) and video camera (1) are fixed on same horizontal base, the line-structured light projector (3), video camera (1) is encapsulated in casing together with horizontal base, the angle of the optical axis direction of the projecting direction of the line-structured light projector (3) and video camera (1) is 30 °~35 °, the light hole of the line-structured light projector (3) is between 90mm~100mm to the distance of video camera image plane center, the front end of camera lens is installed the annular LED light source (4) of being made by LED.
CN201310390389.0A 2013-08-30 2013-08-30 Based on the 3-dimensional image measuring method of line-structured light Expired - Fee Related CN103438832B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310390389.0A CN103438832B (en) 2013-08-30 2013-08-30 Based on the 3-dimensional image measuring method of line-structured light

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310390389.0A CN103438832B (en) 2013-08-30 2013-08-30 Based on the 3-dimensional image measuring method of line-structured light

Publications (2)

Publication Number Publication Date
CN103438832A true CN103438832A (en) 2013-12-11
CN103438832B CN103438832B (en) 2016-01-20

Family

ID=49692528

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310390389.0A Expired - Fee Related CN103438832B (en) 2013-08-30 2013-08-30 Based on the 3-dimensional image measuring method of line-structured light

Country Status (1)

Country Link
CN (1) CN103438832B (en)

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104677305A (en) * 2015-02-11 2015-06-03 浙江理工大学 Method and system for three-dimensionally reconstructing object surface based on cross-structured light
CN104792277A (en) * 2014-01-17 2015-07-22 佳能株式会社 Three-dimensional-shape measurement apparatus, and three-dimensional-shape measurement method
CN105290621A (en) * 2015-10-12 2016-02-03 深圳市海目星激光科技有限公司 High-speed and high-precision tab cutting method and device based on vision guidance
CN106109015A (en) * 2016-08-18 2016-11-16 秦春晖 A kind of wear-type medical system and operational approach thereof
CN106705879A (en) * 2015-08-06 2017-05-24 赛特株式会社 Object measuring method with use of three-dimensional shape measuring instrument and three-dimensional shape measuring instrument used for measuring method
CN106959078A (en) * 2017-02-28 2017-07-18 苏州凡目视觉科技有限公司 A kind of contour measuring method for measuring three-dimensional profile
CN107941170A (en) * 2017-12-15 2018-04-20 武汉夕睿光电技术有限公司 Road detection apparatus and system
CN108332684A (en) * 2018-04-23 2018-07-27 中国科学院苏州生物医学工程技术研究所 A kind of measuring three-dimensional profile method based on Structured Illumination microtechnic
CN108428251A (en) * 2018-03-09 2018-08-21 深圳市中捷视科科技有限公司 One kind being based on machine vision technique laser structure light automatic calibration method
CN109269952A (en) * 2018-10-16 2019-01-25 东南大学 A kind of measuring device and method of filamentary material three dimensional particles concentration information in air flow bed rectangle riser
CN110375674A (en) * 2019-07-02 2019-10-25 东莞理工学院 A visual inspection system for precision manufacturing equipment
CN110702002A (en) * 2019-07-04 2020-01-17 天津大学 A method for multi-layer synchronous measurement of curved light-transmitting parts
CN110709669A (en) * 2017-06-07 2020-01-17 索尼半导体解决方案公司 Information processing apparatus and method
CN110988145A (en) * 2019-10-21 2020-04-10 深圳先进技术研究院 Scanning Ultrasound Inspection System
CN113390357A (en) * 2021-07-08 2021-09-14 南京航空航天大学 Rivet levelness measuring method based on binocular multi-line structured light
CN113465536A (en) * 2021-06-30 2021-10-01 皖江工学院 Laser holder based on camera guide and working method thereof

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010091491A (en) * 2008-10-10 2010-04-22 Fujifilm Corp Photographing apparatus and method for three-dimensional shape measurement and program
JP2010151842A (en) * 2010-03-26 2010-07-08 Nec Engineering Ltd Three-dimensional shape measuring instrument and three-dimensional shape measurement method
CN102589476A (en) * 2012-02-13 2012-07-18 天津大学 High-speed scanning and overall imaging three-dimensional (3D) measurement method
CN102661956A (en) * 2012-04-24 2012-09-12 浙江大学 Super-smooth surface defect detection system and distortion correction method thereof

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010091491A (en) * 2008-10-10 2010-04-22 Fujifilm Corp Photographing apparatus and method for three-dimensional shape measurement and program
JP2010151842A (en) * 2010-03-26 2010-07-08 Nec Engineering Ltd Three-dimensional shape measuring instrument and three-dimensional shape measurement method
CN102589476A (en) * 2012-02-13 2012-07-18 天津大学 High-speed scanning and overall imaging three-dimensional (3D) measurement method
CN102661956A (en) * 2012-04-24 2012-09-12 浙江大学 Super-smooth surface defect detection system and distortion correction method thereof

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张梅风: "《基于线结构光的复合式视觉测量技术的研究》", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104792277B (en) * 2014-01-17 2018-04-10 佳能株式会社 3 d shape measuring apparatus and method for measuring three-dimensional shape
CN104792277A (en) * 2014-01-17 2015-07-22 佳能株式会社 Three-dimensional-shape measurement apparatus, and three-dimensional-shape measurement method
CN104677305A (en) * 2015-02-11 2015-06-03 浙江理工大学 Method and system for three-dimensionally reconstructing object surface based on cross-structured light
CN104677305B (en) * 2015-02-11 2017-09-05 浙江理工大学 Method and system for 3D reconstruction of object surface based on cross structured light
CN106705879B (en) * 2015-08-06 2019-09-17 赛特株式会社 Object measuring method using three-dimensional measuring instrument and the three-dimensional measuring instrument for the measurement method
CN106705879A (en) * 2015-08-06 2017-05-24 赛特株式会社 Object measuring method with use of three-dimensional shape measuring instrument and three-dimensional shape measuring instrument used for measuring method
CN105290621A (en) * 2015-10-12 2016-02-03 深圳市海目星激光科技有限公司 High-speed and high-precision tab cutting method and device based on vision guidance
CN106109015A (en) * 2016-08-18 2016-11-16 秦春晖 A kind of wear-type medical system and operational approach thereof
CN106959078A (en) * 2017-02-28 2017-07-18 苏州凡目视觉科技有限公司 A kind of contour measuring method for measuring three-dimensional profile
CN106959078B (en) * 2017-02-28 2019-07-30 苏州凡目视觉科技有限公司 A kind of contour measuring method for measuring three-dimensional profile
CN110709669B (en) * 2017-06-07 2021-09-07 索尼半导体解决方案公司 Information processing apparatus and method
CN110709669A (en) * 2017-06-07 2020-01-17 索尼半导体解决方案公司 Information processing apparatus and method
CN107941170A (en) * 2017-12-15 2018-04-20 武汉夕睿光电技术有限公司 Road detection apparatus and system
CN108428251A (en) * 2018-03-09 2018-08-21 深圳市中捷视科科技有限公司 One kind being based on machine vision technique laser structure light automatic calibration method
CN108332684A (en) * 2018-04-23 2018-07-27 中国科学院苏州生物医学工程技术研究所 A kind of measuring three-dimensional profile method based on Structured Illumination microtechnic
CN109269952A (en) * 2018-10-16 2019-01-25 东南大学 A kind of measuring device and method of filamentary material three dimensional particles concentration information in air flow bed rectangle riser
CN110375674A (en) * 2019-07-02 2019-10-25 东莞理工学院 A visual inspection system for precision manufacturing equipment
CN110702002A (en) * 2019-07-04 2020-01-17 天津大学 A method for multi-layer synchronous measurement of curved light-transmitting parts
CN110988145A (en) * 2019-10-21 2020-04-10 深圳先进技术研究院 Scanning Ultrasound Inspection System
CN113465536A (en) * 2021-06-30 2021-10-01 皖江工学院 Laser holder based on camera guide and working method thereof
CN113390357A (en) * 2021-07-08 2021-09-14 南京航空航天大学 Rivet levelness measuring method based on binocular multi-line structured light

Also Published As

Publication number Publication date
CN103438832B (en) 2016-01-20

Similar Documents

Publication Publication Date Title
CN103438832B (en) Based on the 3-dimensional image measuring method of line-structured light
CN102435770B (en) Three-dimensional stereo particle image speed-measuring system for single camera
CN105203034B (en) A kind of survey height survey area method based on monocular cam three-dimensional ranging model
CN102012217B (en) Method for measuring three-dimensional geometrical outline of large-size appearance object based on binocular vision
WO2018103693A1 (en) Hybrid light measurement method for measuring three-dimensional profile
Massot-Campos et al. Underwater laser-based structured light system for one-shot 3D reconstruction
CN103900494B (en) For the homologous points fast matching method of binocular vision 3 D measurement
CN103499297A (en) CCD (Charge Coupled Device)-based high-accuracy measuring method
CN103971406A (en) Underwater target three-dimensional reconstruction method based on line structured light
CN104567728A (en) Laser vision profile measurement system, measurement method and three-dimensional target
CN103824318A (en) Multi-camera-array depth perception method
CN105069789B (en) Structure light dynamic scene depth acquisition methods based on coding grid template
CN103852060A (en) Visible light image distance measuring method based on monocular vision
CN106289099B (en) A kind of single camera vision system and the three-dimensional dimension method for fast measuring based on the system
CN103697815A (en) Method for acquiring three-dimensional information of frequency mixing structured light based on phase encoding
CN107816942A (en) A kind of planar dimension measurement method based on cross structure light vision system
CN104111485A (en) Stereo imaging based observation method for raindrop size distribution and other rainfall micro physical characteristics
CN106996748A (en) Wheel diameter measuring method based on binocular vision
CN106228513A (en) A kind of Computerized image processing system
CN102980526A (en) Three-dimensional scanister using black and white camera to obtain color image and scan method thereof
CN107167118B (en) A Stable Real-Time Laser Measurement Method Based on Uncoded Parallel Multi-Line
Zou et al. High-accuracy calibration of line-structured light vision sensors using a plane mirror
CN107560554A (en) A kind of three-dimensional information vision measuring method based on relay lens
CN102798349A (en) Three-dimensional surface extraction method based on equal-gray line search
CN104460220A (en) Device utilizing single camera for achieving binocular vision three-dimensional imaging

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160120

Termination date: 20170830

CF01 Termination of patent right due to non-payment of annual fee